Β (last week of classes)
Weixi Chen (Minghao Zhao, Math)
Nicolas Rugo (Anish/Nooria, Math)
Bob Dong (Jon Lin, Math)
Hamza Alvi (Aaron Zoll, AMS)
Hermoine Cordeiro Larkin (Aaron Zoll, AMS)
Wynn Zhao (Aaron Zoll, AMS)
Caden Daubach (Josiah Lim, AMS)
Daniel Yao (Josiah Lim, AMS)
Viggy Vanchinathan (Drew Henrichsen, AMS)
Justin Wang (Drew Henrichsen, AMS)
Jack Drouin (Matthew Hudes, AMS)
Elliott Leow (Sehee Park, AMS)
An Introduction to Algebraic Geometry
Mentor: Minghao Zhao
Mentee: Weixi Chen
An(other) Introduction to Algebraic Geometry
Mentors: Anish Chedalavada, Nooria Ahmed
Mentee: Nicolas Rugo
Algebra
Mentor: Jon Lin
Mentee: Bob Dong
What Makes Gradient Descent Work (well)?
Mentor: Aaron Zoll
Mentee: Hamza Alvi, Hermoine Cordeiro Larkin, Wynn Zhao
Prerequisites: (Required) Calculus III, Linear Algebra, (Recommended) Real Analysis
Pattern Theory: Unscrambling Text
Mentor: Josiah Lim
Mentees: Caden Daubach, Daniel YaoΒ
Prerequisites: (Required) Probability at 553.420 level, (Recommended) Statistics, Coding
Statistical Physics and Renormalization Group Theory
Mentor: Matthew Hudes
Mentee: Jack Drouin
Prerequisites: (Required) A first course in Statistical Physics, Calculus III
Introduction to Causal Inference
Mentor: Sehee Park, Beatrix Wen
Mentee: Elliott Leow
Interests: Causal Inference, Applied Statistics
Predicting Glucose Spikes with Meal Macros: An Exploratory Data Analysis
Mentor: Drew Henrichsen
Mentee: Viggy Vanchinathan
LSTM and Transformers
Mentor: Drew Henrichsen
Mentee: Justin Wang
Organizers: Josiah Lim (AMS), Nooria Ahmed (Math), Anish Chedalavada (Math)